Transform Your Cloud Data Warehouses with Production-Ready,
Scalable DBT Services
Infometry empowers modern data teams to standardize, scale, and accelerate their ELT workflows by offering end-to-end DBT implementation and migration services — from open-source DBT on-prem deployments to fully managed DBT Cloud environments. Our engineering-first approach streamlines your transition to a robust, metadata-driven data transformation ecosystem built for performance, governance, and scale.
With expertise across major cloud data platforms like Snowflake, Redshift, BigQuery, and Databricks, we help you implement version-controlled, CI/CD-ready DBT frameworks and seamlessly integrate with enterprise-grade orchestrators like Apache Airflow, Control-M, and Azure Data Factory, enabling holistic, automated data pipelines.
Why DBT for Modern Data Transformation
Infometry’s DBT Solutions enable organizations to embrace analytics engineering using a declarative, SQL-centric modeling layer that sits between raw data ingestion and business-ready consumption. Here’s how we help unlock its full potential:
Consolidated Data Workflows
Eliminate fragmentation by moving transformation logic out of BI tools & into
a centralized DBT layer.
Cloud-Native Performance
Maximize cloud data warehouse compute elasticity — especially with Snowflake’s auto-scaling — by leveraging DBT’s modular model structure.
Built-in Governance & Lineage
Automatically track model dependencies, generate data lineage graphs, and maintain auditable transformation history.
CI/CD & Testing Framework
Integrate automated test case development, CI/CD pipelines, and data quality checks into every pull request.
Scheduler-Orchestration Integration
Deploy production-grade DBT pipelines orchestrated through Airflow, Control-M, or enterprise schedulers, ensuring reliability and SLA adherence.
GitOps Collaboration
Adopt Git-based development workflows to improve collaboration and versioning across distributed teams.
Cost Optimization
Replace high-maintenance ETL tools with lightweight, SQL-based transformations — optimized for cloud compute billing models.
Infometry’s End-to-End DBT Services
Whether you are modernizing legacy ETL or migrating from on-prem to the cloud, our services are tailored to build secure, modular, and future-ready data transformation pipelines:
- Strategic DBT Roadmapping: Analyze existing ELT patterns and design scalable, extensible DBT architecture aligned to your cloud platform (Snowflake, BigQuery, Redshift, etc.).
- DBT Cloud & On-Prem Deployment: Expert configuration and deployment of both DBT open-source (self-hosted) and DBT Cloud environments — ensuring flexibility and enterprise readiness.
- DBT On-Prem to DBT-Cloud migration : Assisting in strategizing, planning and executing the DBT On-prem to DBT Cloud migration as a turnkey project.
- Modeling Frameworks & Optimization: Leverage DBT best practices to structure models using the staging → intermediate → marts layer pattern, optimized for reusability and maintainability.
- Automated Testing & CI/CD: Implement out-of-the-box test suites and develop custom data assertions; automate deployments through GitHub Actions, GitLab CI, or Azure DevOps.
- Scheduler & Orchestration Integration: Seamlessly plug DBT runs into enterprise pipelines using Apache Airflow, Control-M, or other orchestration tools for end-to-end automation.
- Team Enablement & Training: Enable your data engineering and analytics teams with hands-on training on DBT model design, testing strategies, and production deployment workflows.
Why Infometry?
- Proven Track Record: 15+ years of deep experience across data engineering, analytics, and cloud-native modernization.
- Multi-Cloud & DBT Expertise: Proficient in delivering scalable DBT implementations for Snowflake, BigQuery, Redshift, and Databricks.
- Framework-Driven Delivery: Our proprietary DBT Framework accelerates onboarding, promotes reusability, and enforces modeling standards.
- InfoFiscus Cloud Data Warehouse Testing (CDWT) and Metadata Discovery (MDD) tools accelerate the Cloud Migration and DBT implementation projects
- Performance Engineering: Fine-tuned DBT models aligned to the compute and caching mechanisms of your cloud data warehouse.
- Cost-Efficient Migrations: Transition from legacy ETL to DBT while cutting infrastructure and license costs.
- Production-Grade Orchestration: Integrated support for enterprise-level schedulers and robust CI/CD toolchains.
- Ongoing Support: Full-lifecycle services including managed DBT operations, incident resolution, and roadmap alignment.
Transform Your Data Workflows Today
Ready to migrate from monolithic ETL pipelines to cloud-native, GitOps-enabled data transformation? Partner with Infometry to harness the power of DBT, CI/CD, and orchestration-first design — and build a scalable foundation for modern analytics.
Contact us today to schedule a free consultation.
Frequently Asked Questions
DBT (Data Build Tool) is a modern, SQL-based transformation tool that helps you build production-grade data models directly inside your cloud data warehouse. It promotes modularity, version control, testing, and documentation — all within your analytics engineering workflows.
DBT Open Source is a command-line tool suited for on-prem or self-hosted environments, ideal for developers comfortable managing their infrastructure. DBT Cloud offers a fully managed SaaS environment with a UI, job scheduling, Git integration, and team collaboration features — reducing operational overhead.
Infometry supports Snowflake, Amazon Redshift, Google BigQuery, and Databricks for DBT implementations, ensuring compatibility with most modern data architectures.
Absolutely. We offer end-to-end DBT migration services, including assessment of your current ETL pipelines, designing a scalable DBT framework, re-platforming SQL logic, and deploying it on cloud-native environments like Snowflake.
Yes. We specialize in integrating DBT workflows with enterprise-grade orchestrators such as Apache Airflow, Control-M, Azure Data Factory, and more, enabling automated, scheduled transformations aligned with your data pipeline SLAs.
We implement automated test cases within your DBT models, leveraging built-in DBT tests (unique, not null, accepted values) as well as custom data assertions. We also integrate th
Our services include:
- Strategic DBT architecture and roadmap
- DBT Cloud or open-source setup
- Miration from DBT On-prem to DBT Cloud
- Model design using best practices
- Automated testing and CI/CD integration
- Orchestration with Airflow or Control-M
- Training and long-term support
DBT uses Git-based workflows, enabling teams to version, test, and document code collaboratively. With DBT Cloud, multiple users can work simultaneously while maintaining model integrity and audit trails.
We follow the standardized layered modeling approach (Landing → Stage→ EDW), ensure modular SQL code, apply naming conventions, include tests and documentation, and integrate CI/CD pipelines for deployment automation.
Yes, we offer customized hands-on DBT training — from foundational modeling to advanced deployment strategies — empowering your teams to manage and scale DBT workflows independently.